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{ "item_title" : "Exploring Natural Language Processing with Large Language Models", "item_author" : [" Dimple Tiwari", "Sayani Ghosal "], "item_description" : "Exploring Natural Language Processing with Large Language Models is a comprehensive survey of the rapidly growing field of Natural Language Processing (NLP) with a focus on the revolutionary use of Large Language Models (LLMs). The volume discusses core NLP concepts, linguistic representation, text manipulation, transformers, attention frameworks, and modern generative AI methods. It also discusses practical applications such as text generation, sentiment analysis, question answering, summarization, translation and conversational AI. The book links theoretical principles with state-of-the-art technologies through conceptual explanations, examples from practice and real-world applications. The book is an essential resource for students, researchers, educators and AI practitioners.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/04/105/298/1041052987_b.jpg", "price_data" : { "retail_price" : "150.00", "online_price" : "150.00", "our_price" : "150.00", "club_price" : "150.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Exploring Natural Language Processing with Large Language Models|Dimple Tiwari

Exploring Natural Language Processing with Large Language Models

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Overview

Exploring Natural Language Processing with Large Language Models is a comprehensive survey of the rapidly growing field of Natural Language Processing (NLP) with a focus on the revolutionary use of Large Language Models (LLMs). The volume discusses core NLP concepts, linguistic representation, text manipulation, transformers, attention frameworks, and modern generative AI methods. It also discusses practical applications such as text generation, sentiment analysis, question answering, summarization, translation and conversational AI. The book links theoretical principles with state-of-the-art technologies through conceptual explanations, examples from practice and real-world applications. The book is an essential resource for students, researchers, educators and AI practitioners.

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Details

  • ISBN-13: 9781041052982
  • ISBN-10: 1041052987
  • Publisher: CRC Press
  • Publish Date: January 2027
  • Page Count: 240

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